Adaptive Federated Optimization

29 February 2020

Sanjiv Kumar

Papers citing "Adaptive Federated Optimization"

50 / 793 papers shown

Title
Hyperparameter Optimization through Neural Network Partitioning Bruno Mlodozeniec M. Reisser Christos Louizos 42 6 0 28 Apr 2023
JaxPruner: A concise library for sparsity research Jooyoung Lee Wonpyo Park Nicole Mitchell Jonathan Pilault J. Obando-Ceron ... Hong-Seok Kim Yann N. Dauphin Karolina Dziugaite Pablo Samuel Castro Utku Evci 48 14 0 27 Apr 2023
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM Ziba Parsons Fei Dou Houyi Du Zheng Song Jin Lu 32 3 0 25 Apr 2023
Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications Viktorija Pruckovskaja Axel Weissenfeld Clemens Heistracher Anita Graser Julia Kafka P. Leputsch Daniel Schall J. Kemnitz FedML 24 9 0 21 Apr 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification Hong-You Chen Shitian Zhao Ruotong Wang Xuhui Jia Qi Boqing Gong Wei-Lun Chao Li Zhang FedML 30 7 0 16 Apr 2023
Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates Chenyang Ma Xinchi Qiu Daniel J. Beutel Nicholas D. Lane FedML 18 12 0 15 Apr 2023
Communication and Energy Efficient Wireless Federated Learning with Intrinsic Privacy Zhenxiao Zhang Yuanxiong Guo Yuguang Fang Yanmin Gong 38 4 0 15 Apr 2023
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training Tuo Zhang Lei Gao Sunwoo Lee Mi Zhang Salman Avestimehr FedML 34 28 0 14 Apr 2023
FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization Xujing Li Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 21 4 0 12 Apr 2023
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning G. Legate Lucas Caccia Eugene Belilovsky FedML 36 10 0 11 Apr 2023
A Communication-efficient Local Differentially Private Algorithm in Federated Optimization Syed Eqbal Alam Dhirendra Shukla Shrisha Rao FedML 26 2 0 04 Apr 2023
Benchmarking FedAvg and FedCurv for Image Classification Tasks Bruno Casella Roberto Esposito C. Cavazzoni Marco Aldinucci FedML 25 12 0 31 Mar 2023
Fair Federated Medical Image Segmentation via Client Contribution Estimation Meirui Jiang H. Roth Wenqi Li Dong Yang Can Zhao V. Nath Daguang Xu Qianming Dou Ziyue Xu FedML 31 47 0 29 Mar 2023
Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks Xabier Sáez-de-Cámara Jose Luis Flores Cristóbal Arellano A. Urbieta Urko Zurutuza 32 55 0 28 Mar 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients Wenhao Yuan Xuehe Wang FedML 48 0 0 28 Mar 2023
Adaptive Federated Learning via New Entropy Approach Shensheng Zheng Wenhao Yuan Xuehe Wang Ling-Yu Duan FedML OOD 28 1 0 27 Mar 2023
Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation Rongyu Zhang Xiaowei Chi Guiliang Liu Wenyi Zhang Yuan Du Fang Wang 38 12 0 27 Mar 2023
Neural Collapse Inspired Federated Learning with Non-iid Data Chenxi Huang Liang Xie Yibo Yang Wenxiao Wang Binbin Lin D. Cai FedML 34 3 0 27 Mar 2023
Green Federated Learning Ashkan Yousefpour Sheng Guo Ashish Shenoy Sayan Ghosh Pierre Stock Kiwan Maeng Schalk-Willem Kruger Michael G. Rabbat Carole-Jean Wu Ilya Mironov FedML AI4CE 48 10 0 26 Mar 2023
Make Landscape Flatter in Differentially Private Federated Learning Yi Shi Yingqi Liu Kang Wei Li Shen Xueqian Wang Dacheng Tao FedML 25 55 0 20 Mar 2023
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System Weizhao Jin Yuhang Yao Shanshan Han Jiajun Gu Carlee Joe-Wong Yu Yang A. Avestimehr Chaoyang He FedML 24 50 0 20 Mar 2023
A Survey of Federated Learning for Connected and Automated Vehicles Vishnu Pandi Chellapandi Liangqi Yuan Stanislaw H. .Zak Ziran Wang FedML 33 34 0 19 Mar 2023
An Empirical Evaluation of Federated Contextual Bandit Algorithms Alekh Agarwal H. B. McMahan Zheng Xu FedML 34 2 0 17 Mar 2023
Making Batch Normalization Great in Federated Deep Learning Shitian Zhao Hong-You Chen Wei-Lun Chao FedML 24 10 0 12 Mar 2023
Memory-adaptive Depth-wise Heterogenous Federated Learning Kai Zhang Yutong Dai Hongyi Wang Eric P. Xing Xun Chen Lichao Sun FedML 33 7 0 08 Mar 2023
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training Zhenheng Tang Xiaowen Chu Ryan Yide Ran Sunwoo Lee S. Shi Yonggang Zhang Yuxin Wang Alex Liang A. Avestimehr Chaoyang He FedML 28 10 0 03 Mar 2023
A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data Haizhou Du Chengdong Ni 22 1 0 01 Mar 2023
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting Kangyang Luo Xiang Li Yunshi Lan Ming Gao FedML 36 34 0 28 Feb 2023
Advancements in Federated Learning: Models, Methods, and Privacy Hui Chen Huandong Wang Qingyue Long Depeng Jin Yong Li FedML 44 14 0 22 Feb 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 48 0 21 Feb 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy Yan Sun Li Shen Tiansheng Huang Liang Ding Dacheng Tao FedML 38 51 0 21 Feb 2023
A Federated Approach for Hate Speech Detection Jay Gala Deep Gandhi Jash Mehta Zeerak Talat 21 4 0 18 Feb 2023
Privately Customizing Prefinetuning to Better Match User Data in Federated Learning Charlie Hou Hongyuan Zhan Akshat Shrivastava Sida I. Wang S. Livshits Giulia Fanti Daniel Lazar FedML 37 15 0 17 Feb 2023
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data M. Crawshaw Yajie Bao Mingrui Liu FedML 27 8 0 14 Feb 2023
Multi-Carrier NOMA-Empowered Wireless Federated Learning with Optimal Power and Bandwidth Allocation Weicai Li Tiejun Lv Yashuai Cao Wei Ni M. Peng 41 10 0 13 Feb 2023
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees Chulin Xie De-An Huang Wen-Hsuan Chu Daguang Xu Chaowei Xiao Bo-wen Li Anima Anandkumar FedML 26 10 0 13 Feb 2023
FilFL: Client Filtering for Optimized Client Participation in Federated Learning Fares Fourati Salma Kharrat Vaneet Aggarwal Mohamed-Slim Alouini Marco Canini FedML 24 4 0 13 Feb 2023
FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging Junyi Li Feihu Huang Heng-Chiao Huang FedML 25 1 0 13 Feb 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation Peiyao Xiao Kaiyi Ji FedML 32 11 0 09 Feb 2023
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach Han Guo P. Greengard Hongyi Wang Andrew Gelman Yoon Kim Eric P. Xing FedML 23 20 0 08 Feb 2023
Improving the Model Consistency of Decentralized Federated Learning Yi Shi Li Shen Kang Wei Yan Sun Bo Yuan Xueqian Wang Dacheng Tao FedML 36 51 0 08 Feb 2023
On the Convergence of Federated Averaging with Cyclic Client Participation Yae Jee Cho Pranay Sharma Gauri Joshi Zheng Xu Satyen Kale Tong Zhang FedML 44 27 0 06 Feb 2023
One-shot Empirical Privacy Estimation for Federated Learning Galen Andrew Peter Kairouz Sewoong Oh Alina Oprea H. B. McMahan Vinith Suriyakumar FedML 32 32 0 06 Feb 2023
Federated Survival Forests Alberto Archetti Matteo Matteucci FedML 22 8 0 06 Feb 2023
$z$ -SignFedAvg: A Unified Stochastic Sign-based Compression for Federated Learning Zhiwei Tang Yanmeng Wang Tsung-Hui Chang FedML 29 14 0 06 Feb 2023
On the Efficacy of Differentially Private Few-shot Image Classification Marlon Tobaben Aliaksandra Shysheya J. Bronskill Andrew Paverd Shruti Tople Santiago Zanella Béguelin Richard Turner Antti Honkela 40 11 0 02 Feb 2023
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations Hui-Po Wang Dingfan Chen Raouf Kerkouche Mario Fritz FedML DD 26 4 0 02 Feb 2023
DoCoFL: Downlink Compression for Cross-Device Federated Learning Ron Dorfman S. Vargaftik Y. Ben-Itzhak Kfir Y. Levy FedML 34 19 0 01 Feb 2023
FedFA: Federated Feature Augmentation Tianfei Zhou E. Konukoglu OOD FedML 47 29 0 30 Jan 2023
Federated Learning over Coupled Graphs Runze Lei Peijie Wang Junzhou Zhao Lin Lan Jing Tao Chao Deng Junlan Feng Xidian Wang Xiaohong Guan FedML 16 14 0 26 Jan 2023